SMURF software architecture for low power mobile robots: experience in search and rescue operations

Frederic Py, Giulia Robbiani, Giancarlo Marafioti, Yu Ozawa, Masahiro Watanabe, Kenichi Takahashi, Satoshi Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Search and rescue personnel is facing many challenges when deployed in the field after a natural or man-made disaster. In some cases they are exposed to safety risks, for instance when searching for trapped victims under a partially collapsed building after an earthquake. Robots could be a tool that the search and rescue teams could use to search in areas that are too dangerous or too difficult to reach. In this paper, part of the effort made by the CURSOR project is described. In particular, we present a software architecture designed and developed for the Soft Miniaturised Underground Robotic Finder (SMURF). The SMURF is a robotic platform designed and built to assist the search and rescue teams during their operations. Finally, we describe the main components of the SMURFs and share our findings and our acquired experience when developing and testing the SMURFs in realistic environments.

Original languageEnglish
Title of host publicationSSRR 2022 - IEEE International Symposium on Safety, Security, and Rescue Robotics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages264-269
Number of pages6
ISBN (Electronic)9781665456807
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2022 - Sevilla, Spain
Duration: 2022 Nov 82022 Nov 10

Publication series

NameSSRR 2022 - IEEE International Symposium on Safety, Security, and Rescue Robotics

Conference

Conference2022 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2022
Country/TerritorySpain
CitySevilla
Period22/11/822/11/10

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